Blind OFDM parameter estimation techniques in frequency-selective rayleigh channels

In this work we present various blind algorithms for estimating signal parameters of unknown OFDM signal waveforms in frequency-selective Rayleigh channels. These algorithms are meant to alleviate some of the challenges facing unauthorized receivers and cognitive radios where many received signal parameters are unknown. Previously known single-symbol algorithms for Maximum Likelihood (ML) Timing and Carrier Frequency Offset (CFO) estimation have been extended to multi-symbol type. Fine parameter estimation using transform domain methods are also presented. The application of these algorithms to field collected OFDM waveforms is also presented. New blind OFDM channel estimation algorithms are presented.